Topology Inference and Link Parameter Estimation Based on End-to-End Measurements.
Grigorios KakkavasVasileios KaryotisSymeon PapavassiliouPublished in: Future Internet (2022)
Keyphrases
- end to end
- parameter estimation
- random fields
- gibbs sampling
- markov chain monte carlo
- maximum likelihood
- model selection
- least squares
- bayesian model selection
- parameter learning
- parameter estimation algorithm
- em algorithm
- markov random field
- admission control
- expectation maximization
- congestion control
- posterior distribution
- estimation problems
- multipath
- approximate inference
- probabilistic inference
- ad hoc networks
- bayesian networks
- real world
- model fitting
- wireless ad hoc networks
- application layer
- data mining
- structure learning
- wireless sensor networks
- internet protocol